CS124 Lecture 12 12.1 Near duplicate documents1 Suppose we are designing a major search engine. We would like to avoid answering user queries with multiple copies of the same page. That is, there may be several pages with exactly the same text. These duplicates occur for a variety of reasons. Some are mirror sites, some […]
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CS124 Lecture 10 Spring 2016 10.1 The Birthday Paradox How many people do there need to be in a room before with probability greater than 1/2 some two of them have the same birthday? (Assume birthdays are distributed uniformly at random.) Surprisingly, only 23. This is easily determined as follows: the probability the first two
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\documentclass[11pt]{article} \usepackage{fullpage} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsmath} \usepackage{xcolor} \usepackage{algorithm} \usepackage{algorithmic} \newcommand{\F}{\mathbb{F}} \newcommand{\np}{\mathop{\rm NP}} %\newcommand{\binom}[2]{{#1 \choose #2}} \newcommand{\Z}{{\mathbb Z}} \newcommand{\vol}{\mathop{\rm Vol}} \newcommand{\conp}{\mathop{\rm co-NP}} \newcommand{\atisp}{\mathop{\rm ATISP}} \renewcommand{\vec}[1]{{\mathbf #1}} \newcommand{\cupdot}{\mathbin{\mathaccent\cdot\cup}} \newcommand{\mmod}[1]{\ (\mathrm{mod}\ #1)} \setlength{\parskip}{\medskipamount} \setlength{\parindent}{0in} %\input{dansmacs} \begin{document} \section*{CS 124 Homework 1: Spring 2021} \textbf{Your name:} \textbf{Collaborators:} \textbf{No. of late days used on previous psets: }\\ \textbf{No. of late days used
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1. Introduction Unbiasing Random Bits Michael Mitzenmacher Most computers use a pseudo-random number generator in order to mimic random numbers. While such pseudo-random numbers are sufficient for many applications, they may not do in cases where more secure randomness is needed, such as when you are generating a cryptographic key. For example, years ago the
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CS 124 Homework 1: Spring 2021 Your name: Collaborators: No. of late days used on previous psets: No. of late days used after including this pset: Homework is due Wednesday at midnight ET. You are allowed up to twelve (college)/forty (ex- tension school) late days through the semester, but the number of late days you
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Internet Mathematics Vol. 1, No. 4: 485-509 Network Applications of Bloom Filters: A Survey Andrei Broder and Michael Mitzenmacher Abstract. A Bloom filter is a simple space-efficient randomized data structure for representing a set in order to support membership queries. Bloom filters allow false positives but the space savings often outweigh this drawback when the
CS 124 Lecture 11 11.1 Applications: Fingerprinting for pattern matching Suppose we are trying to find a pattern string P in a long document D. How can we do it quickly and efficiently? Hash the pattern P into say a 16 bit value. Now, run through the file, hashing each set of |P| consecutive characters
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Greedy Algorithms Fractional Knapsack Job Scheduling on Multi-processors Activity Selection topic 7: Greedy method Copyright By PowCoder代写 加微信 powcoder Algorithm Design Techniques: Three major design techniques are: Greedy Method Divide and Conquer Dynamic Programming 1- Greedy Method: This is usually good for optimization problems, where we
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Statistical Machine Learning Christian Walder Machine Learning Research Group CSIRO Data61 and College of Engineering and Computer Science The Australian National University Canberra Semester One, 2020. (Many figures from C. M. Bishop, “Pattern Recognition and Machine Learning”) Statistical Machine Learning ⃝c 2020 Ong & Walder & Webers Data61 | CSIRO The Australian National University Outlines
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Statistical Machine Learning Christian Walder Machine Learning Research Group CSIRO Data61 and College of Engineering and Computer Science The Australian National University Canberra Semester One, 2020. (Many figures from C. M. Bishop, “Pattern Recognition and Machine Learning”) Statistical Machine Learning ⃝c 2020 Ong & Walder & Webers Data61 | CSIRO The Australian National University Outlines
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